Search Results for author:
Found 4 papers, 2 papers with code
Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR
In this work, we propose Mel-FullSubNet, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Unimodal Aggregation for CTC-based Speech Recognition
Then, the feature frames with unimodal weights are integrated and further processed by a decoder.
Ranked #5 on
Speech Recognition
on AISHELL-1
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks
One stream of reinforcement learning research is exploring biologically plausible models and algorithms to simulate biological intelligence and fit neuromorphic hardware.
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation
To have a superior generalization, a deep learning neural network often involves a large size of training sample.
